A multi-objective optimal scheduling method for the distillation process of raw materials in chemical production

A multi-objective optimization and distillation process technology, applied in the field of intelligent optimization and scheduling of chemical production processes, to achieve the effect of reducing complexity, expressing clear and accurate, and solving scheduling problems

Active Publication Date: 2020-09-25
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to obtain the approximate optimal solution of the multi-objective optimal scheduling problem of the raw material distillation process in chemical production in a relatively short period of time, and a multi-objective optimal scheduling method for the raw material distillation process of chemical production is provided

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  • A multi-objective optimal scheduling method for the distillation process of raw materials in chemical production
  • A multi-objective optimal scheduling method for the distillation process of raw materials in chemical production
  • A multi-objective optimal scheduling method for the distillation process of raw materials in chemical production

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Embodiment 1

[0026] Embodiment 1: as Figure 1-6 As shown, a multi-objective optimal scheduling method for the distillation process of chemical production raw materials, by determining the scheduling model and optimization objectives of the raw material distillation process, and using the optimal scheduling objectives of the Bayesian distribution estimation algorithm to optimize; where the scheduling model is based on each The maximum completion time and machine energy consumption of the raw materials processed on a distillation equipment are established to minimize the maximum completion time C max (π) and minimize the total energy consumption TEC max (π) is the objective function:

[0027] Min(f 1 , f 2 )=Min(C max ,TEC max )

[0028]

[0029]

[0030] Among them, the number of raw materials to be distilled is n, the number of distillation equipment is m, each raw material is composed of m processes, and each process of each raw material corresponds to a unique distillation e...

Embodiment 2

[0039] Embodiment 2: as Figure 1-6 As shown, a multi-objective optimal scheduling method for the distillation process of chemical production raw materials, by determining the scheduling model and optimization objectives of the raw material distillation process, and using the optimal scheduling objectives of the Bayesian distribution estimation algorithm to optimize; where the scheduling model is based on each The maximum completion time and machine energy consumption of the raw materials processed on a distillation equipment are established to minimize the maximum completion time C max (π) and minimize the total energy consumption TEC max (π) is the objective function.

[0040] The specific steps of the optimal scheduling method based on the Bayesian distribution estimation algorithm are as follows:

[0041] Step1. Encoding method: encode according to the order of raw materials to be processed π=[π 1 , π 2 ,...,π n×m ]; where n represents the number of raw materials to b...

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Abstract

The invention relates to a multi-objective optimal scheduling method for a raw material distillation process in chemical production. According to the method, a raw material distillation process scheduling model and an optimization objective are determined; optimization is performed through using an optimal scheduling objective based on a Bayesian-based estimation of distribution algorithm; the scheduling model and scheduling method of the raw material distillation process in the chemical production under the indexes of minimizing maximum completion time and minimizing total energy consumptionare provided, so that the expression of the raw material distillation process in the chemical production is clear and accurate, and the scheduling method is reasonable and effective; a three-dimensional matrix is adopted as a Bayesian inference probabilistic model, and therefore, the complexity of the updating and adopted operation of the probabilistic model can be decreased, and the probabilisticmodel can learn relationships between procedures; and local search that meets the requirements of problems is designed according to the scales of the problems, and therefore, the search capability ofthe algorithm can be enhanced.

Description

technical field [0001] The invention relates to a multi-objective optimal scheduling method for the distillation process of chemical production raw materials, which belongs to the field of intelligent optimal scheduling technology for chemical production process. Background technique [0002] As environmental pollution, ecological destruction, and increasing scarcity of resources and energy have become severe challenges facing human society, solving these global social problems and achieving sustainable development have gradually become the focus of attention of the manufacturing industry. For this reason, in response to a series of energy loss and environmental pollution problems that have occurred in recent years, many countries have higher requirements for industrial energy conservation and emission reduction. Chemical production is the most important part of process industry. The basic operations in chemical production include: filtration, extraction, distillation, cryst...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 谢正明钱斌胡蓉张桂莲
Owner KUNMING UNIV OF SCI & TECH
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